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RAGAM: Journal of Statistics and Its Application
Published by Universitas Lambung Mangkurat
ISSN : -     EISSN : 29628539     DOI : https://doi.org/10.20527/ragam.vXXX
Core Subject : Economy, Humanities, Health, Science, Education,
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health
RAGAM Journal publishes scientific articles in the field of statistics and its applications, including: * Biostatistics * Parametric and nonparametric statistics * Quality control * Econometrics and business * Industrial statistics * Time series analysis * Spatial statistics * Data mining * Computational statistics * Applications of statistics in the medical, economic, social, environmental, industrial, technological, and other related fields
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 50 Documents
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SPATIAL ANALYSIS OF THE RELATIONSHIP BETWEEN HUMAN DEVELOPMENT INDEXES AND ITS DETERMINANT FACTORS IN SOUTH KALIMANTAN PROVINCE: COMPARISON OF SPATIAL REGRESSION MODELING Juhar Latifah; Dewi Sri Susanti
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.11608

Abstract

Indeks Pembangunan Manusia (IPM) berfungsi sebagai metrik penting yang mencerminkan tingkat kesejahteraan suatu wilayah melalui dimensi kesehatan, pendidikan, dan pendapatan. Dalam upaya untuk memahami lebih lanjut mengenai faktor-faktor yang mempengaruhi IPM, penelitian ini fokus pada Keparahan Tingkat Kemiskinan (X1), Kepadatan Manusia Penduduk (X2), dan Angka Partisipasi Kasar (X3) sebagai variabel kunci yang mungkin berdampak pada pembangunan, khususnya di provinsi Kalimantan Selatan. Metode yang digunakan meliputi regresi klasik, gabungan regresi spasial, dan model kesalahan spasial. Model ketiga ini akan dibandingkan dan ditentukan model dengan kinerja terbaik. Berdasarkan temuan penelitian, Structural Equation Model (SEM) muncul sebagai model yang paling efektif dalam menganalisis faktor-faktor yang mempengaruhi IPM di Kalimantan Selatan. Nilai R-square yang diperoleh sebesar 0,8946 menunjukkan tingkat daya penjelas yang tinggi, melampaui nilai R-square model lainnya.
ANALISIS MODEL LOGIT KUMULATIF UNTUK MENENTUKAN DETERMINAN USIA KAWIN PERTAMA WANITA DI KABUPATEN BALANGAN Aulia Syifa Annisa; Dewi Sri Susanti
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.10518

Abstract

The Province of South Kalimantan is one of the five provinces in Indonesia with the highest teenage marriage rate from 2017 to 2020.  Based on 13 South Kalimantan regencies/cities, it is known that Balangan Regency has the greatest percentage of women's age at first marriage under 19 years compared to other regencies/cities, which is 55.58%. The purpose of this study is to identify the factors that influence women's age at first marriage in Balangan Regency in 2020. In this investigation, ordinal logistic regression with the cumulative logit model was used.  The findings revealed that the highest education ever/currently obtained by a woman (X1), parents' age at first marriage (X2), the highest diploma of the head of the household (X3), employment status of the head of the family (X4), location of place of residence (X5), poverty status (X6), and migration (X7) had no significant effect.  Furthermore, using the Spearman rank correlation coefficient, it was discovered that the highest education ever/currently obtained by a woman  (X1) has a substantial correlation/closeness of link with women's age at first marriage by 28%.  Women with a higher degree of education are less likely to marry at a young age, whereas women with a lower level of education are more likely.
MODEL REGRESI MULTIVARIAT UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMENGARUHI KESEJAHTERAAN KABUPATEN/KOTA DI KALIMANTAN SELATAN Syifa Urrahmah; Fuad Muhajirin Farid; Maisarah Maisarah
RAGAM: Journal of Statistics & Its Application Vol 2, No 1 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i1.9968

Abstract

The purpose of a region to carry out development is to realize prosperity. In measuring a welfare is the coverage of APBD funds such as Local Own Revenue and others that can be influenced. The analysis that can be used in research is multivariate regression. The purpose of the research is to find out what factors affect welfare in South Kalimantan in 2018-2020. Based on the analysis, the multivariate regression model has two factors that are thought to influence PAD and PDRB, namely personnel spending and special allocation funds with modeling   with goodness-of-fit testing it can be explained that the relationship between variables is 76.51%. Keywords: Welfare. PAD, PDRB, Personnel Expenditures, Multivariate
PEMODELAN REGRESI BERGANDA UNTUK FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN PRODUK IMPLORA MENGGUNAKAN PLATFORM TIKTOK SHOP DI PURWAKARTA Farida Apriani
RAGAM: Journal of Statistics & Its Application Vol 4, No 2 (2025): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v4i2.16903

Abstract

The cosmetics industry in Indonesia is experiencing rapid growth and has managed to dominate the domestic market, so many cosmetic brands continue to innovate, including the Implora brand. Implora is a cosmetic that can be reached by all strategists looking to be known, namely promotions that use the tiktok shop application. Tiktok shop presents an innovative "Shoppertainment" concept by combining the uniqueness of the TikTok platform, especially entertaining and engaging content, with direct shopping features. This study aims to find out and conduct modelling to determine the influence of social media marketing, product quality, and consumer trust on the purchase of Implora cosmetic products on the TikTok Shop. This study uses primary data in the form of a questionnaire with sampling techniques, namely random and purposive sampling. The respondents are 191 students university in Purwakarta. The method used was descriptive analysis and multiple linear regression; the model obtained using α=0.05, namely  Y=-1.154+0.077X1+0.399X2+0.725X3 with a determination coefficient value of 85.8%. The dominance of the age who buy this product is 19-24 years old and the variables that have a significant influence from this study are product quality and consumer trust, but the social media marketing variables are still maintained, the existence of these findings can provide a more focused strategy direction for implora products to strengthen product quality and build trust while still utilizing social media such as tiktokshop to expand wide marketingT
PENDEKATAN REGRESI NONPARAMETRIK SPLINE UNTUK PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI PULAU KALIMANTAN Kethy Valentina Permatasari; Fuad Muhajirin Farid; Thina Anggraini -
RAGAM: Journal of Statistics & Its Application Vol 1, No 1 (2022): RAGAM: Journal of Statistics and Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v1i1.6885

Abstract

The Human Development Index is a number that measures the achievement of human development based on a number of basic components of quality of life that can affect the level of productivity produced by a person. The calculation of the human development index can be based on three dimensions, namely the health dimension, the education dimension, the standard of living dimension In this study the method used is nonparametric spline regression. This nonparametric spline regression method is used to obtain the estimated regression curve through the data fitting approach. This method is also very suitable for use with data that changes frequently and does not determine a certain pattern. Spline is a model that has statistical and visual interpretation and has a very good ability to be generalized to complex and complex statistical models. The purpose of this study is to explain how the influence and how the best model of the number of health facilities, number of school facilities, economic growth, labor force participation rate and open unemployment rate on the human development index on the island of Kalimantan using nonparametric spline regression. The results of this study are the best model is at one knot point and the number of health facilities, the number of school facilities, economic growth, labor force participation rates and the open unemployment rate affect the dependent variable by 42.98 percent or can be said to be low, while the rest is explained by the variable others that are not included in the model.
PEMETAAN JUMLAH KRIMINALITAS DI KALIMANTAN SELATAN MENGGUNAKAN METODE CO-KRIGING DAN INVERSE DISTANCE WEIGHTING Muhammad Haidir Gazali; Dewi Sri Rahkmawati; Maisarah Maisarah
RAGAM: Journal of Statistics & Its Application Vol 3, No 1 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i1.12806

Abstract

AbstractCriminality is any form of action that harms economically and psychologically and violates the law, social norms and religion. South Kalimantan is in 21st position with an average of 3,282 criminal cases per year in the period 2018 to 2020. One method to interpolate data in unsampled locations is the co-kriging and inverse distance weighting (IDW) method. This study aims to estimate the number of crimes in South Kalimantan with the co-kriging and IDW methods, compare the results to determine the best method, and present a thematic map of the distribution of crime in South Kalimantan. In the co-kriging method, the number of crimes is the primary variable and population density is the secondary variable. The result of this research is that between the two methods, IDW is better for interpolation in estimating the crime value than the co-kriging method. The IDW method provides good interpolation results whose interpolation value is close to the value of the real data. Although co-kriging has the potential to provide accurate results if the cross-variogram model can be formed properly, the constraints faced in this study indicate that IDW remains a more stable and reliable choice in estimating crime in South Kalimantan.  Keywords:  Crime, Co-kriging, Inverse Distance Weighting
PENERAPAN MODEL GEOGRAPHICALLY WEIGHTED PANEL REGRESSION PADA TINGKAT KEMISKINAN DI PROVINSI KALIMANTAN SELATAN Akhmad Fajar Maulana; Yuana Sukmawaty; Maisarah Maisarah
RAGAM: Journal of Statistics & Its Application Vol 2, No 2 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i2.11332

Abstract

South Kalimantan Province is one of the provinces in Indonesia which has the lowest poverty rate or percentage of poor people on the island of Kalimantan, even in Indonesia. The percentage of poor people in South Kalimantan Province in March 2022 was 4.49% or in the 2nd lowest poverty position in Indonesia, below the Bangka Belitung Islands Province and above the Bali Province. Geographically Weighted Panel Regression (GWPR) is a local regression model with repeated data at location points for each observation at different times. This study aims to estimate the GWPR model parameters and test the significance of the GWPR model parameters to determine the factors that influence poverty in South Kalimantan Province. The independent variables used affect the dependent variable in the form of the Percentage of Poor Population, namely Life Expectancy, Open Unemployment Rate, Economic Growth, Average Years of Schooling and Number of Crimes. The analysis in this study is descriptive analysis using thematic maps, panel data regression analysis to determine the global model and GWPR by combining the panel data model with the GWR model. The results of this study show that the fixed effect model is a global model and the fixed bisquare weighting function is the best weighting function for estimating the GWPR model. Based on the GWPR model formed, there are 7 model groups based on significant independent variables. Hulu Sungai Utara and Hulu Sungai Tengah districts are districts where poverty in these areas is influenced by many variables compared to other regions in South Kalimantan Province.
METODE REGRESI GULUD UNTUK MENGATASI MASALAH MULTIKOLINEARITAS PADA KASUS INDEKS KUALITAS LINGKUNGAN HIDUP DI INDONESIA TAHUN 2021 Awwaliatul Habibah; Fuad Muhajirin Farid; Selvi Annisa
RAGAM: Journal of Statistics & Its Application Vol 2, No 1 (2023): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v2i1.10041

Abstract

The environmental quality index is an indicator of environmental quality in Indonesia. EQI shows an increasing trend from 2018 to 2022, although Indonesia's environmental quality is ranked 116 out of 180 countries in the world. Therefore, the purpose of this study is to describe the characteristics of the EQI and the factors that can affect EQI, estimate the parameters of the ridge regression model and test the significance of the ridge regression model parameters to overcome the multicollinearity problem in the EQI case. This study uses 4 independent variables, namely population density, traffic, waste, and sanitation in Indonesia in 2021 as secondary data. In this study, ridge regression analysis is used because there is an almost linear relationship between the factors that are thought to affect the EQI. Ridge Regression is a technique that imposes limits (penalties) on parameter estimates in the regression model so that a reduction in the estimated coefficient value can overcome the multicollinearity problem. The results show that the optimal lambda value is 4.737078 when using the 5-fold cross-validation method. Variables that partially affect EQI are population density, waste, and environmental sanitation. The independent variables in this study that can explain the variability of EQI in Indonesia in 2021 is 59.52%, while 40.48% is explained by other variables that are not included in the model. Indonesia's EQI score in 2021 is 71.45 with the predicate "Good". Keywords:   Environmental Quality Index, Ridge Regression, Cross Validation.
PEMODELAN REGRESI DATA PANEL PADA TINGKAT PARTISIPASI ANGKATAN KERJA PEREMPUAN DI PROVINSI KALIMANTAN SELATAN Putri Norhikmah; Fuad Muhajirin Farid; Aprida Siska Lestia
RAGAM: Journal of Statistics & Its Application Vol 1, No 1 (2022): RAGAM: Journal of Statistics and Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v1i1.7383

Abstract

Women’s Labor Force Participation Rate (LFPR) is an indication that can shows how much participation of women in the process development. The purpose of this study is to provide an overview of LFPR women in the Province of South Kalimantan, explaining the expected variables influence on women’s LFPR in South Kalimantan Province and determine the best model. This research data is sourced from the Centra Statistics Agency of South Kalimantan Province with a time period of 2017-2020. Variable independen research, namely female workers, female residents who are still in school and taking care of the household, the average length of schooling for women, female population according to the highest education ever graduate from senior high school above, female household heads, status of married and unmarried women marriage, district/city minimum wage, human development index women and regional domestic income growth at constant prices while the dependent variable is female LFPR. The results of data analysis, can be conclude that the Fixed Effect Model as the best model of panel regression. Women’s LFPR in South Kalimantan Province by producing two recommendation with Fixed Effect Model an R-Squared in the first model of 99,40%.Keywords:  Women’s LFPR, Panel Data Regression, South Kalimantan
QUICK ROBUST CLUSTERING USING LINKS (QROCK) UNTUK PENGELOMPOKAN DESA KABUPATEN BANJAR Muhammad Rizki Shofari; Oni Soesanto
RAGAM: Journal of Statistics & Its Application Vol 3, No 1 (2024): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v3i1.12805

Abstract

AbstractAccurate village profile planning needs to be done with mapping based on its characteristics. Village grouping based on the characteristics of village facilities and potential or its characteristics based on the Building Village Index indicator can help determine priorities in village development. In this study, mixed data was used, with numerical data grouping using Hierarchical Agglomerative Nesting (AGNES) algorithm and categorical data with Quick Robust Clustering Using Links (QROCK). The resulting clusters are then combined using the QROCK Ensemble algorithm (algCEBMDC). The data is sourced from the 2021 Village Potential Data Collection (PODES) by the Central Statistics Agency in 277 villages in Banjar Regency, including 18 numerical variables and 29 categorical variables. The results of the study obtained  optimal clusters based on the ratio of within-group standard deviation (SW) to between-group standard deviation (SB)  resulting in a ratio of  4.82.10-9 with a threshold of 0.4 to 0.9 resulting in 6  clusters. The  best cluster results are cluster 4 (4 villages) and cluster  3 (14  villages), then cluster 2 (villages) and cluster 1 (186  villages), and clusters that need development priorities are cluser 5 (2 villages) and cluster 6 (1 village) which are outliers based on processing results. Keywords:   Village Grouping,  Cluster, AGNES Algorithm, Quick Robust Clustering Using Links (QROCK), AlgCEBMDC

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